Now showing items 1286-1305 of 2128

    • Non-invasive IC tomography using spatial correlations 

      Shamsi, Davood (2010)
      We introduce a new methodology for post-silicon characterization of the gate-level variations in a manufactured Integrated Circuit (IC). The estimated characteristics are based on the power and the delay measurements that ...
    • Non-Redundant, Linear-Phase, Semi-Orthogonal, Directional Complex Wavelets 

      Fernandes, Felix; Wakin, Michael; Baraniuk, Richard G. (2004-05-01)
      The directionality and phase information provided by non-redundant complex wavelet transforms (NCWTs) provide significant potential benefits for image/video processing and compression applications. However, because existing ...
    • Noncoherent image denoising 

      Hua, Gang (2005)
      The techniques of Translation Invariant (TI) denoising and statistical modeling are widely used in image denoising. This thesis studies how these techniques exploit location information in images and identifies a class of ...
    • Nonlinear Dynamic Theory for Photorefractive Phase Hologram Formation 

      Kim, Dae M.; Shah, Rajiv R.; Rabson, Thomas A.; Tittel, Frank K. (1976-01-20)
      A nonlinar dynamic theory is developed for the formation of photorefractive volume phase holograms. A feedback mechanism existing between the photo-generated field and free electron density, treated explicitly yields the ...
    • Nonlinear elastic buckling and postbuckling analysis of cylindrical panels 

      Zhou, Yang; Stanciulescu, Ilinca; Eason, Thomas; Spottswood, Michael (2015)
      This paper revisits the buckling analysis of a benchmark cylindrical panel undergoing snap-through when subjected to transverse loads. We show that previous studies either overestimated the buckling load and identified a ...
    • Nonlinear Fault Detection for Hydraulic Systems 

      Leuschen, Martin L.; Walker, Ian D.; Cavallaro, Joseph R. (2003-01-01)
      One of the most important areas in the robotics industry is the development of robots capable of working in hazardous environments. As humans cannot safely or cheaply work in these environments, providing a high level ...
    • Nonlinear Fault Detection for Hydraulics: Recent Advances in Fault Diagnosis and Fault Tolerance for Mechatronic Systems 

      Leuschen, Martin L.; Walker, Ian D.; Cavallaro, Joseph R. (2002-10-01)
      One of the most important areas in the robotics industry is the development of robots capable of working in hazardous environments. As humans cannot safely or cheaply work in these environments, providing a high level ...
    • Nonlinear neural codes 

      Yang, Qianli (2015-12-03)
      Most natural task-relevant variables are encoded in the early sensory cortex in a form that can only be decoded nonlinearly. Yet despite being a core function of the brain, nonlinear population codes are rarely studied and ...
    • Nonlinear phase FIR filter design with minimum LS error and additional constraints 

      Lang, Markus; Bamberger, Joachim (1994-07-01)
      We examine the problem of approximating a complex frequency response by a real-valued FIR filter according to the <i>L<sub>2</sub></i> norm subject to additional inequality constraints for the complex error function. ...
    • Nonlinear Processing of a Shift Invariant DWT for Noise Reduction 

      Lang, Markus; Guo, Haitao; Odegard, Jan E.; Burrus, C. Sidney; Wells, R.O. (1995-04-20)
      A novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal ...
    • Nonlinear Processing of a Shift Invariant DWT for Noise Reduction 

      Lang, Markus; Guo, Haitao; Odegard, Jan E.; Burrus, C. Sidney; Wells, R.O. (1995-03-20)
      A novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal ...
    • Nonlinear Signal Models: Geometry, Algorithms, and Analysis 

      Hegde, Chinmay (2013-07-24)
      Traditional signal processing systems, based on linear modeling principles, face a stifling pressure to meet present-day demands caused by the deluge of data generated, transmitted and processed across the globe. Fortunately, ...
    • Nonlinear System Identification Based on a Fock Space Framework 

      Zyla, Lou; de Figueiredo, Rui J.P. (1979-05-20)
      A method is presented for the identification of a nonlinear system represented by an operator V:E->Y, where the input space E is a separable Hilbert space over the field of complex numbers and the output space Y is the ...
    • Nonlinear Wavelet Processing for Enhancement of Images 

      Odegard, Jan E.; Lang, Markus; Guo, Haitao; Gopinath, Ramesh A.; Burrus, C. Sidney (1994-05-20)
      In this note we apply some recent results on nonlinear wavelet analysis to image processing. In particular we illustrate how the (soft) thresholding algorithm due to Donoho and Johnstone can successfully be used to remove ...
    • Nonlinear Wavelet Transforms for Image Coding 

      Claypoole, Roger L.; Davis, Geoffrey; Sweldens, Wim; Baraniuk, Richard G. (1997-11-01)
      We examine the central issues of invertibility, stability, artifacts, and frequency-domain characteristics in the construction of nonlinear analogs of the wavelet transform. The lifting framework for wavelet construction ...
    • Nonlinear Wavelet Transforms for Image Coding via Lifting 

      Claypoole, Roger L.; Davis, Geoffrey; Sweldens, Wim; Baraniuk, Richard G. (2003-12-01)
      We investigate central issues such as invertibility, stability, synchronization, and frequency characteristics for nonlinear wavelet transforms built using the lifting framework. The nonlinearity comes from adaptively ...
    • Nonlinear Wigner-Ville Spectrum Estimation using Wavelet Soft Thresholding 

      Baraniuk, Richard G. (1995-04-01)
      The large variance of the Wigner-Ville distribution makes smoothing essential for producing readable estimates of the time-varying power spectrum of noise corrupted signals. Since linear smoothing trades reduced variance ...
    • Nonlinear-Phase Maximally-Flat FIR Filter Deisgn 

      Selesnick, Ivan W.; Burrus, C. Sidney (1996-09-20)
      This paper reports a new analytic technique for the design of nonlinear-phase maximally-flat lowpass FIR filters. By subjecting the response magnitude and the group delay (individually) to differing numbers of flatness ...
    • Nonparametric prediction of mixing time series 

      Lee, Yuan Kang (1992)
      Prediction of future time-series values, based on a finite set of available observations, is a prevalent problem in many branches of science and engineering. By making the assumption that the time series is either Gaussian ...